70 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Denmark
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-robotics-and-engineering and the Center for Rehabilitation Robotics: https://vbn.aau.dk/da/organisations/center-for-rehabilitation-robotics It is expected that the candidate will learn/master Danish at a
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the ability to perform complex data analyses. Has experience with implementing computer-based experiments as well as field experiments. Has professional proficiency in English, both written and spoken
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. Observational experience/expertise to compare computational results with data from (sub)mm observations, especially ALMA, are highly appreciated. Expertise in applying machine-learning techniques is an additional
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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analysis, and basic feature engineering. Experience with Python or a similar programming language, and basic exposure to scientific computing or machine learning libraries, combined with an interest in
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation